timeline_volume

Active

Tool of Gdelt

declared in 0.1.0

Day-by-day SHARE OF GLOBAL NEWS attention for a query — what % of all worldwide articles mentioned this topic each day. Returns datapoints with timestamp and intensity (% of total news volume). Use to detect news-cycle spikes around events ("when did attention to X peak?"), benchmark attention against history, or pair with timeline_tone to chart sentiment vs interest together. Cheaper than search_articles when you only need the volume curve, not the source articles themselves.

Parameters schema

{
  "type": "object",
  "examples": [
    {
      "query": "climate change"
    },
    {
      "query": "Ukraine conflict",
      "timespan": "1m"
    }
  ],
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "GDELT query string"
    },
    "timespan": {
      "type": "string",
      "description": "Lookback window (default \"1m\")"
    },
    "enddatetime": {
      "type": "string",
      "description": "YYYYMMDDHHMMSS — only with timespan=custom"
    },
    "startdatetime": {
      "type": "string",
      "description": "YYYYMMDDHHMMSS — only with timespan=custom"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.70.

Parent server

Gdelt

https://github.com/pipeworx-io/mcp-gdelt

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